Nonlinear errors compensation method of eddy current sensor based on BP neural network

YU Ya-ting

doi:10.13873/j.1000-97872007.10.023

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Nonlinear errors compensation method of eddy current sensor based on BP neural network

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- Nonlinear errors compensation method of eddy current sensor based on BP neural network
- Issue 10, Pages: 54-56(2007)
- 作者机构：
  
  1. 电子科技大学机械电子工程学院
  2. 电子科技大学机械电子工程学院,四川,成都,610054
  3. 重庆大学机械传动国家重点实验室
  4. ,重庆,400044
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872007.10.023
  CLC： TP183;TP212
- Published：2007
- 稿件说明：
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[1]于亚婷,杜平安,廖雅琴,董文轩.基于BP网络的电涡流传感器非线性补偿[J].传感器与微系统,2007(10):54-56.

YU Ya-ting. Nonlinear errors compensation method of eddy current sensor based on BP neural network[J]. 2007, (10): 54-56.
[1]于亚婷,杜平安,廖雅琴,董文轩.基于BP网络的电涡流传感器非线性补偿[J].传感器与微系统,2007(10):54-56. DOI： 10.13873/j.1000-97872007.10.023.

YU Ya-ting. Nonlinear errors compensation method of eddy current sensor based on BP neural network[J]. 2007, (10): 54-56. DOI： 10.13873/j.1000-97872007.10.023.

摘要

电涡流传感器消除了传感器探头和被测材料之间的相关性

但存在较严重的非线性

采用BP网络对改进后的传感器的非线性进行补偿

并将补偿结果与拟合函数法的补偿结果进行了比较。结果表明:2种补偿方法都大大提高了传感器的线性度。但BP网络产生的补偿曲线更顺滑

补偿后的传感器线性度更高。

Abstract

The eddy current sensor improves the relativity between the sensor’s probe and the measured object

but the serious nonlinearity is appeared.To compensate the nonlinear errors

the BP network is adopted.The result is compared with that from the fitting function method.The result indicates that the two methods both can improve the linearity of the sensor.However

the compensation curve from BP network is smoother and the linearity of the sensor is better.

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references

基于遗传算法的传感器系统的非线性校正 [J]. 芦俊,陈俊杰,颜景平. 仪表技术与传感器 . 2001(06)

铂电阻温度传感器非线性校正的新方法 [J]. 王生铁,王志和,傅闯. 仪表技术与传感器 . 2000(02)

神经网络与应用[M]. 国防工业出版社 , 董长虹编著, 2005

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